Modern power systems are the backbone of our society, supplying electric energy for daily
activities. With the integration of communication networks and high penetration of renewable …

With increasing concerns of climate change, renewable resources such as photovoltaic (PV)
have gained popularity as a means of energy generation. The smooth integration of such …

As renewable energy sources replace traditional power sources (such as thermal
generators), uncertainty grows while there are fewer controllable units. To reduce …

As the technology of multi-energy carbon-free systems is strikingly developed, renewable-
based multi-vector energy integration has become a prevalent trend in the decarbonization …

To overcome the high uncertainty and randomness of wind and enable the grid to optimize
advance preparation, a priori-guided and data-driven hybrid method is proposed to provide …

Precipitation affects the generation of runoff and concentration of water resources in basins.
The randomness of precipitation contributes to the difficulty and uncertainty of forecasting it …

This letter proposes a data-driven sparse polynomial chaos expansion-based surrogate
model for the stochastic economic dispatch problem considering uncertainty from wind …

Introducing carbon trading into electricity market can convert carbon dioxide into
schedulable resources with economic value. However, the randomness of wind power …

A modern power system is characterized by a stochastic variation of the loads and an
increasing penetration of renewable energy generation, which results in large uncertainties …

Optimal dispatch of modern power systems often entails efficiently solving large-scale
optimization problems, especially when generators have to respond to the fast fluctuation of …